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This invention describes a system for a virtual assistant that helps users complete tasks. When a user speaks a request, the system first checks if it has enough information to understand what's needed. If not, it starts a conversation to ask for more details. Once it has sufficient information, it figures out the user's task and instructs another system to perform it. One specific version of this system is designed for a virtual assistant embedded in a vehicle's navigation system, where it helps passengers by determining tasks for the transport.
Why it matters: Filed just as large language models (LLMs) were becoming widely accessible and powerful. The claims describe a system that directly benefits from the improved natural language understanding and generation capabilities of modern LLMs, making the dialog management and task determination more robust and easier to implement than with pre-LLM machine learning models.
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